1
Computer Engineering and Science, Shahid Beheshti University, Tehran, Iran
2
Electrical, Computer and IT Engineering, Qazvin Islamic Azad University, Qazvin, Iran
3
Department of Computer Engineering, Rasht Islamic Azad University, Rasht, Iran
چکیده
In the last decades, employing self-adaptive systems in the field of software engineering has been considerably increased. In this regard, with the aim of improving self-adaptive systems and using all their benefits and features, we require tools and methods that can effectively evaluate self-adaptive systems not only at design time but also at run-time. Notably, evaluation is considered as one of the most important factors for understanding the success of any software. On the other hand, despite the growing use of self-adaptive systems their evaluation has been rarely taken into account and most of the studies do not consider variability characteristics of these systems at run-time.Moreover, quality attributes and their corresponding metric presented for evaluating these systems are limited and do not deliberate all adaptive features of these systems. To fill these lacuna, a framework for evaluating a selfadaptive system is presented in this paper which is achieved based on a detailed analysis of the range of studies carried in this field. Therefore, in the beginning adaptive characteristics which are the main reason of creating a self-adaptive systems are identified and mapped into their corresponding quality attributes which are known as the best measures for evaluating a software system. In the following, quality metrics of these quality attributes are presented. It must be noted that presented quality attributes and their corresponding metrics are specific for selfadaptive systems and presented framework can be considered as a comprehensive foundation for evaluating selfadaptive systems.
علوم رایانش و فناوری اطلاعات